RISIS – Research Infrastructure for Science and Innovation Policy Studies

Start of the project: 01-Jan-2019 - End of the project: 31-Dec-2022

The goal of the project is to build a data infrastructure for Science, Technology and Innovation Policy studies supporting the development of new advanced STI indicators contributing to developing a deeper understanding of knowledge dynamics. Going beyond established quantitative indicators we strive to develop positioning indicators, which take into account critical features of knowledge dynamics i.e. the importance of asymmetries in producers, in places and in themes. The infrastructure offers access to various datasets providing information on Higher Education Institutions and research organizations (ETER and OrgReg), innovative firms (Cheetah, VICO, NANO, CIB), publications (CWTS Publication Database), research funding and financing (EUPRO and EFIL), careers and mobility of researchers (Profile and MORE) as well as science and innovation policy evaluation studies (SIPER). Research area 2 are primarily involved in developing new approaches enabling to reflect career developments. In particular, we will develop a new data set supplying comparative and comparable information on careers of PhDs from different European countries based on publicly available information (e.g. CVs).

All datasets are made available for research purposes (remote and on-site access). They are freely accessible to European Researchers (for conditions to access the data and options to receive financial support see https://rcf.risis2.eu/codeofconduct. RISIS also provides training courses on advanced analytical methods and introductions to data sets.

For additional information on the project and the opportunities and conditions for accessing the data go to: https://www.risis2.eu/

Lead Researcher

Stefan Hornbostel
Prof. Dr. Stefan Hornbostel Lead Researcher +49 30 2064177-0

Researchers

Dr. Sybille Hinze Jakob Tesch

Press contact

Daniel Matthes
Daniel Matthes +49 511 450670-532
To press section